Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists
Traditional methods of counting bicyclists are resource-intensive and generate data with sparse spatial and temporal detail. Previous research suggests big data from crowdsourced fitness apps offer a new source of bicycling data with high spatial and temporal resolution. However, crowdsourced bicycl...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2019-06-01
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| coleção: | Urban Science |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2413-8851/3/2/62 |
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